White Paper
Precision Psychiatry: Advancing Biomarker-Based Diagnosis in Mental Health
Authors:
Alexandra Prieux[1], Aurore André[2], Josep Maria Haro[3], Lars Vedel Kessing[4], Chantal Henry[5], Eduard Vieta[6]
White Paper
Precision Psychiatry: Advancing Biomarker-Based Diagnosis in Mental Health
Authors:
Alexandra Prieux1, Aurore André2, Josep Maria Haro3, Lars Vedel Kessing4, Chantal Henry5, Eduard Vieta6
Take-Home Messages
Global Prevalence of Mental Disorders
More than 25% of the global population will experience at least one mental health disorder during lifetime, with depression and anxiety being the most common.
Causes of Mental Disorders
While exact causes remain unclear, both genetic and environmental factors (epigenetic) play significant roles, with trauma or stressful events often acting as a trigger.
Challenges of Current Diagnostics
Diagnostics in psychiatry relies on clinical information and on the clinicians’ expertise. It can lead in some complex cases to long diagnostic wandering, and a worsening of the condition.
Challenges of Current Treatments
Although current treatments are effective, not all of them are equally effective for every patient. This individual variability makes an accurate and timely diagnosis all the more critical, to prevent prolonged suffering.
Precision Psychiatry Definition
Medical care in psychiatry designed to optimize therapeutic benefit for particular groups of patients through the use of biomarkers or biosignatures.
Precision Psychiatry’s Potential
Precision diagnostics and treatments promise individualized care by integrating genetic and epigenetic, biological and clinical profiles for better outcomes.
Role of Biomarkers
Advances in biomarkers—genetic, epigenetic, blood-based, and digital—are transforming psychiatric diagnostics and enabling personalized treatment strategies.
Innovations in Neuroimaging and EEG
Technologies like fMRI, PET, and EEG enhance diagnostic precision, contributing to a deeper understanding of brain alterations in psychiatric disorders.
Accessibility of Innovations
Simple and scalable diagnostic tools, such as blood tests, ensure broader access to precision-based mental health care.
Objective Diagnostics
Biomarker-based diagnosis add objectivity to psychiatry, complementing clinical assessments and improving diagnostic accuracy.
Future Challenges and Potential
While advancements in precision psychiatry hold immense promise, challenges remain in validation, integration, and implementation in clinical practice.
Integration of AI
Artificial intelligence combines biomarkers with patient-specific data to build novel algorithms, refine diagnosis and optimize mental health interventions.
Executive Summary
These last years, mental health has become a pressing societal concern, highlighting the urgent need for better diagnostic and therapeutic strategies. Precision psychiatry — a late but rapidly evolving branch of precision medicine — promises to address major unmet needs by tailoring diagnoses and treatments to individual biological, environmental, and clinical profiles. Traditional psychiatric diagnosis relies heavily on symptom descriptions and clinician expertise. New approaches integrate genetic, epigenetic, imaging, EEG, and digital biomarkers, and combine them with the clinicians’ expertise to move psychiatry closer to objective, personalized care.
Moving away from the one-size-fits-all model, precision psychiatry now leverages technologies ranging from molecular biology to machine learning-based digital health monitoring. Research highlights the potential of multimodal data integration — combining biological samples, brain imaging, wearable device outputs, and clinical expertise — to improve diagnostic precision and long-term outcomes. Merging together robust panels of biomarkers and AI-driven data is considered today the most potent approach for precision psychiatry.
If the field has seen in the last few years impressive scientific advances, the path forward still requires overcoming some challenges: while some solutions begin to reach the clinic, validation across diverse populations, clinical implementation, scalability, and ethical management of sensitive data must be addressed in other cases. If scientific advances keeps evolving at a constant pace, precision psychiatry could in the coming years revolutionize mental health care, making earlier, more accurate diagnoses and more effective treatments a tangible reality.
